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- AgenticOS, AI Agents & the Social-Media Continuum: 2025 AI Agentics Updates on LinkedIn, X, and Instagram.
AgenticOS, AI Agents & the Social-Media Continuum: 2025 AI Agentics Updates on LinkedIn, X, and Instagram.
How did the internet evolve from hobbyist message boards to algorithm-powered platforms shaping our identities, economies, and politics? What can AOL chatrooms, MySpace Top 8s, and Facebook’s early days teach us about the roots of today’s social media (and why is that relevant to today and the future)? In what ways have AI agents already taken over parts of your LinkedIn, Instagram, or X experience, without you even noticing? Are AI-written posts, messages, and ads actually outperforming human-crafted ones across social platforms? What is SyncNet (hint: I made it up!) and could it really replace feeds, comments, and profiles with a real-time, presence-based social layer? Who controls your digital identity when an agent is managing it for you? Is the future of social media less about what we say, but rather, more about how the agenticOS represent us? Read on for much more!
Table of Contents
Introduction:
Social media may feel like a default setting of modern life since it is omnipresent, ambient, and almost invisible (at times) in its influence.
But behind that ubiquity is a surprisingly fragile and fast-moving infrastructure which includes a constellation of platforms that rose, fell, and morphed (or died) over the last four decades. These platforms reshaped the architecture of identity, rewired how we consume information, and redefined economic participation through the rise of the creator economy rather than simply digitizing our social interactions.
Now we find ourselves at another inflection point. The agenticOS is beginning to have a component of its operating system inhabiting these networks, being far more than just tools, as they will be/already are entities acting on our behalf (right now with significant human-in-the-loop requirements).
To understand where we’re headed, we need to first look back. This newsletter thus begins with a two-part foundation: first, a timeline of social media’s evolution from early proto-networks to today’s algorithm-driven platforms (Section 1.1); second, an exploration of the societal ripple effects, ranging from mental health and identity curation to polarization and surveillance capitalism (Section 1.2).
Section 2 examines how AI agents are already transforming LinkedIn, X, and Instagram by automating hiring, outreach, content, and ads. Section 3 brings up the objective statistics, showing how AI adoption is boosting performance across platforms, from engagement to ROI. Finally, Section 4 peers into the future with SyncNet: a hypothetical presence-based social layer where identity is modular, content is co-created, and agents manage real-time reputation. It’s a radical shift, but it feels like it’s already on the horizon.
Together, these four sections trace how social media evolved, how AI is remaking it now, and what comes next as agents begin to inhabit the networks we once merely used. Enjoy!
Section 1: Origins & Impact
Social media’s influence is now deeply embedded across public, private, and professional life; however, it is important to understand that this ubiquity emerged through decades of rapid platform innovation, decline, and reinvention (or death). In Section 1.1, we’ll trace the timeline from early proto-networks like Usenet and GeoCities to today’s complex ecosystem of business-focused, visual, and decentralized social platforms. Section 1.2 then explores the societal consequences of this transformation, including the reshaping of identity, labor, and information flow. Together, these sections form the foundation for understanding how AI agents and the agenticOS may further reshape the domain of social media.
Section 1.1: Timeline: From Proto-Networks to Today + A Trip Down Memory Lane Before MySpace and Facebook, digital community-building was already active. Bulletin Board System (or BBS) was created by computer hobbyist Ward Christensen and Randy Suess, and released in 1978, allowing users to dial into CBBSs…read more here. ![]() ![]() | Section 1.2: Societal Ripples of Social Media The expansion of social media has brought significant cultural and psychological shifts. A defining trend has been identity curation, or the ability to shape and broadcast a highly controlled version of oneself. This has been linked to rising rates of anxiety and depression, particularly amongst teens…read more here ![]() ![]() |
Section 2: AI Agents on LinkedIn, X, and Instagram (2024–2025 Updates)

OpenAI. (2025). AI Agents on LinkedIn, X, and Instagram (2024–2025 Updates) [Digital illustration]. Generated using DALL·E. Viewed by Ross Green on June 5, 2025.
We’ve just walked through the long arc of social media, from early digital tribes to global platforms, and the societal disruptions that came with them. But what’s happening right now?
In this section, we turn from history to real-time applications, spotlighting how AI agents are actively transforming social platforms into semi-autonomous ecosystems. These three subsections unpack the major battlegrounds: LinkedIn, where agentic tools are reshaping professional outreach and hiring; X, where narrative engineering and ad automation are colliding in Musk’s AI-first rebrand; and Instagram, where content personalization has morphed into agent-driven co-creation. We also tackle ethical considerations for each individual platform.
Across each, the agenticOS is becoming embedded itself into workflows, feeds, and strategy, making these social media tools that much easier to connect with potential clients. What emerges is a glimpse into the social media platforms where our agents operate on our behalf rather than simply as tools we use.
For MUCH MORE on the general regulatory landscape of AI/AI Agents/the agenticOS in the U.S. and the EU, check out our last newsletter here.
Section 2.1: LinkedIn: AI Agents in Professional Networking LinkedIn has rapidly integrated AI-driven tools to help users and businesses automate professional outreach and content creation. For example, the 2024 LinkedIn Recruiter platform introduced AI-Assisted Search and AI-Assisted Messages, allowing recruiters to…read more here. ![]() | Section 2.2: X (Twitter): Agentic Automation in the Everything-App Under Elon Musk’s ownership beginning in the Fall of 2024, X (formerly Twitter) has leaned heavily into AI as part of its transformation from a traditional social network into an “everything app.” In late 2024, early into ownership, Musk took the striking step of…read more here. ![]() | Section 2.3: Instagram (Meta)—Agentic Content and Personalized Media Instagram, as part of Meta’s ecosystem, has been experimenting with AI agents to enhance content creation, personalization, and business outreach. In late 2024, Meta announced it is testing …read more here. ![]() |
Section 3: By the numbers; AI and Social Media
AI adoption among SMBs is driving tangible business results across major social platforms. In 2024, 39% of SMBs reported using AI—nearly triple the adoption rate from 2023—and those who do are seeing real gains, with 91% reporting revenue boosts. Engagement is up too: AI-assisted posts consistently outperform human-only content across LinkedIn, Instagram, TikTok, and more. On the ad side, platforms like Instagram are seeing up to 40% higher ROI from AI-powered predictive targeting. Platform usage patterns are also shifting: LinkedIn and YouTube both experienced over 40% year-over-year growth, while TikTok saw a 12.3% decline. Meanwhile, real-time AI compliance tools are helping businesses stay ahead of content risk across all channels. The table below breaks this down in detail by platform.
Metric | X/Twitter | TikTok | YouTube | Citation | ||
SMB AI Adoption Rate | 91% of SMBs using AI report revenue boosts | 39% of SMBs adopted AI in 2024, up from 14% in 2023 | 39% of SMBs adopted AI in 2024, up from 14% in 2023 | 39% of SMBs adopted AI in 2024, up from 14% in 2023 | 39% of SMBs adopted AI in 2024, up from 14% in 2023 | |
Engagement Lift (AI vs. Human-Only Posts) | AI-assisted posts show higher engagement rates | AI-assisted posts show higher engagement rates | AI-assisted posts show higher engagement rates | AI-assisted posts show higher engagement rates | AI-assisted posts show higher engagement rates | |
Ad Spend Efficiency Gains | AI-driven ad targeting increases ROI by 32% | AI-powered predictive targeting improves ROI by 40% | AI-driven ad targeting increases ROI by 32% | AI-driven ad targeting increases ROI by 32% | AI-driven ad targeting increases ROI by 32% | |
Platform Preference Shift (YoY Growth) | LinkedIn usage increased by 42% YoY | Instagram usage increased by 18% YoY | Twitter usage increased by 18% YoY | TikTok usage decreased by 12.3% YoY | YouTube usage increased by 41.1% YoY | |
Compliance & Risk Metrics | Real-time monitoring tools flag non-compliant content | Real-time monitoring tools flag non-compliant content | Real-time monitoring tools flag non-compliant content | Real-time monitoring tools flag non-compliant content | Real-time monitoring tools flag non-compliant content |
Section 4: Hypothetical Horizon — “SyncNet,” A Post-Feed, Presence-Driven Network

OpenAI. (2025). A digital graphic representing the speculative AI-powered social platform “SyncNet” [AI-generated image]. Created for Ross Green. Accessed June 5, 2025.
What comes after feeds, posts, and comments? Over the next 5–10 years, we may witness the rise of SyncNet; this is a speculative and hypothetical (by me!), next-gen social layer where interaction is built on synchronized presence, mediated by AI agents rather than built on past content…read more here.
Final Thoughts:
As we’ve seen, social media didn’t arrive fully formed; rather, it evolved through decades of experimentation, from BBS boards and GeoCities to TikTok and Farcaster.
Section 1 mapped that arc, then unpacked its sweeping societal impact where identities became curated, labor digitized, information weaponized, and surveillance normalized. In Section 2, we brought the conversation into the present, arguing that the agenticOS represents a fundamental shift, not just simply a new tool. It’s a reimagining of how platforms like LinkedIn, X, and Instagram operate, and more importantly, how we show up within them. Rather than enhancing our experience at the surface level, the agenticOS challenges the very architecture of presence, performance, and participation on these platforms. Section 3 quantified this shift, revealing clear boosts in engagement, efficiency, and revenue as AI moves from augmentation to optimization.
Finally, in Section 4, we imagined a world shaped by SyncNet, which is a speculative next-generation layer where social interaction is no longer based on posts but on presence. In this paradigm, a user’s life, with their absolute consent, is streamed into others' feeds autonomously. SyncNet is a concept I, Ross Green, introduced to explore a future where intelligent agents negotiate identity and reputation on our behalf, in real time.
Together, these sections sketch a system in flux. Social media soon will be/already has been an environment where the agenticOS represent us and increasingly acts for us rather than simply just connecting us (as mentioned in Section 4, finding online connections is so 2000s with The Facebook). That raises hard questions about authenticity, control, and agency. But it also opens up extraordinary new possibilities.
We’re building the future of social media, agent by agent via the agenticOS, and feed by feed in social media, rather than just watching the next chapter unfold. The age of the scroll is giving way to the age of synchronization.
Let’s see what happens next!
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